Evidence map›Paper›PMID 27230281›Full record

ArticleBMC public health2016

Alcohol in urban streetscapes: a comparison of the use of Google Street View and on-street observation.

Chris Clews, Roza Brajkovich-Payne, Emily Dwight, Ayob Ahmad Fauzul, Madeleine Burton, Olivia Carleton, Julie Cook, Charlotte Deroles, Ruby Faulkner, Mary Furniss and 9 more

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Assessing Google Street View Image Availability in Latin American Cities.Journal of urban health : bulletin of the New York Academy of Medicine · 2020
    Article
  5. Validity of environmental audits using GigaPanInternational journal of health geographics · 2018
    Article
  6. Article
  7. Observational
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Chris ClewsDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Roza Brajkovich-PayneDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Emily DwightDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Ayob Ahmad FauzulDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Madeleine BurtonDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Olivia CarletonDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Julie CookDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Charlotte DerolesDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Ruby FaulknerDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Mary FurnissDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Anahera HerewiniDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Daymen HubandDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Nerissa JonesDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Cho Wool KimDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Alice LiDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Jacky LuDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
James StanleyDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.
Nick WilsonDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand. nick.wilson@otago.ac.nz.
George ThomsonDepartment of Public Health, University of Otago, Wellington, PO Box 7343, Wellington, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlcohol-related harm is a major global health issue, and controls on alcohol marketing are one intervention utilized by governments. This study investigated the use of Google Street View (GSV) as a novel research method for collecting alcohol-related data in the urban environment.

methodsThe efficacy of GSV and on-street observation by observer teams was compared by surveying 400 m stretches of 12 streets in Wellington, the capital city of New Zealand. Data on alcohol sale, alcohol-related advertising, health promotion materials, regulatory information and visible alcohol consumption were collected.

resultsA total of 403 retailers with evidence of alcohol sales and 1161 items of alcohol-related communication were identified in on-street observation. Of the latter, 1028 items (89 %) were for alcohol marketing and 133 (11 %) were for alcohol-related health promotion and alcohol regulation. GSV was found to be a less sensitive tool than on-street observation with only 50 % of the alcohol venues identified and 52 % of the venue-associated brand marketing identified. A high degree of inter-observer reliability was generally found between pairs of observers e.g., for the detection of alcohol retail venues the intra-class correlation coefficient (ICC) was 0.93 (95 % CI: 0.78 to 0.98) for on-street observation and 0.85 (95 % CI: 0.49 to 0.96) for using GSV.

conclusionsGSV does not seem suitable for the comprehensive study of the influences on alcohol consumption in the urban streetscape. However, it may still have value for large, static objects in the environment and be more time efficient than traditional on-street observation measures, especially when used to collect data across a wide geographical area. Furthermore, GSV might become a more useful research tool in settings with better image quality (such as more 'footpath views') and with more regularly updated GSV imagery.

Indexed as

Environment DesignGeographic Information SystemsMarketingAlcohol DrinkingHealth PromotionHumansNew ZealandObserver VariationReproducibility of ResultsUrban HealthAlcoholGoogle Street ViewHealth promotionMarketing

Identifiers

PMID27230281
PMCPMC4880812

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.